•TQD/CNO photodetectors featuring high UV light selectivity •Photon-generated charge carrier enhancement by TQDs •1,100% increase in spectral responsivity compared with CNO NS photodetector •A visible-blind UV monitoring system for skin and plant protection is demonstrated Two-dimensional (2D) perovskite-based optoelectronic devices have broad application prospects because of the ultrafast and ultrasensitive detection in particular wavelength ranges. However, the low light absorption generated by atomically thin perovskite nanosheet (NS) layers has limited their practical applications. In this study, Ti3C2Tx quantum dots (TQDs) were used to enhance charge carriers of 2D perovskite Ca2Nb3O10 (CNO) NSs to improve the performance of the TQD-modified 2D perovskite CNO NS photodetector, as shown by the 1,100% increase in spectral responsivity compared with that of the reference photodetector without TQDs. The flexible TQD/CNO photodetector was integrated with a data collector to simulate a wearable visible-blind UV monitoring system for skin and plant protection. And the ambient UV radiation information in various weather can be then trained and recognized by an artificial neural network for alert users. This work demonstrates the potential applications of TQD/CNO in UV-related wearable healthcare and control systems. Two-dimensional (2D) perovskite-based optoelectronic devices have broad application prospects because of the ultrafast and ultrasensitive detection in particular wavelength ranges. However, the low light absorption generated by atomically thin perovskite nanosheet (NS) layers has limited their practical applications. In this study, Ti3C2Tx quantum dots (TQDs) were used to enhance charge carriers of 2D perovskite Ca2Nb3O10 (CNO) NSs to improve the performance of the TQD-modified 2D perovskite CNO NS photodetector, as shown by the 1,100% increase in spectral responsivity compared with that of the reference photodetector without TQDs. The flexible TQD/CNO photodetector was integrated with a data collector to simulate a wearable visible-blind UV monitoring system for skin and plant protection. And the ambient UV radiation information in various weather can be then trained and recognized by an artificial neural network for alert users. This work demonstrates the potential applications of TQD/CNO in UV-related wearable healthcare and control systems.